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Your ML & Data Knowledge Wiki. Best practices and expert-level knowledge for Machine Learning and Data Engineering, covering 1000+ frameworks and libraries from training to deployment.
Browse implementation patterns, configuration guides, debugging heuristics, and battle-tested defaults for frameworks like vLLM, DeepSpeed, Megatron-LM, FlashAttention, Triton, Unsloth, LangChain, and many more. Every page is structured so both humans and AI agents can find what they need fast.
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| Category | Description | Browse |
|---|---|---|
| Workflows | Step-by-step processes and procedures | Browse All |
| Principles | Core ideas and foundational knowledge | Browse All |
| Implementations | Code-level details and modules | Browse All |
| Heuristics | Best practices and guidelines | Browse All |
| Environments | Setup and configuration guides | Browse All |
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Workflows
- Workflow:Apache Shardingsphere Shadow Database Routing
- Workflow:Huggingface Optimum Automatic Tensor Parallelization
- Workflow:ARISE Initiative Robomimic Trained Policy Evaluation
- Workflow:Sail sg LongSpec Long Context Evaluation
- Workflow:Lakeraai Pint benchmark Custom Dataset Benchmarking
- Workflow:Bigscience workshop Petals Prompt Tuning Chatbot
- Workflow:Ggml org Llama cpp LoRA Adapter Workflow
- Workflow:Huggingface Transformers PEFT Adapter Integration
- Workflow:ChenghaoMou Text dedup Bloom Filter Deduplication
- Workflow:Dotnet Machinelearning Binary Classification Pipeline
Principles
- Principle:Microsoft DeepSpeedExamples ZeRO Inference Execution
- Principle:PacktPublishing LLM Engineers Handbook Post Training Inference Validation
- Principle:Roboflow Rf detr Detection Visualization
- Principle:Intel Ipex llm Document Chunking
- Principle:Dagster io Dagster External API Orchestration
- Principle:Marker Inc Korea AutoRAG Corpus Instantiation
- Principle:Wandb Weave Version Bump Dev
- Principle:Togethercomputer Together python Batch Job Monitoring
- Principle:Pyro ppl Pyro Directional Statistics
- Principle:Risingwavelabs Risingwave Test Coverage Assurance
Implementations
- Implementation:Microsoft Playwright Client Waiter
- Implementation:Datajuicer Data juicer DWposeDetector
- Implementation:NVIDIA NeMo Curator Modify
- Implementation:Deepseek ai Janus Image Post Processing AR
- Implementation:Speechbrain Speechbrain Train CommonVoice Transducer
- Implementation:Langgenius Dify Frontend Package
- Implementation:Langfuse Langfuse PublishToOtelIngestionQueue
- Implementation:Hiyouga LLaMA Factory V1 Arg Utils
- Implementation:Dotnet Machinelearning AutoML SweepablePipeline
- Implementation:Microsoft DeepSpeedExamples Create HF Model
Heuristics
- Heuristic:Fastai Fastbook Weight Decay Tuning
- Heuristic:SeldonIO Seldon core Kafka Partition Throughput Tip
- Heuristic:Testtimescaling Testtimescaling github io Hardcoded IDs vs Registry
- Heuristic:VainF Torch Pruning Channel Rounding Alignment
- Heuristic:Allenai Open instruct NCCL CUMEM Disable
- Heuristic:Langchain ai Langchain Pydantic V2 Configuration Tips
- Heuristic:Princeton nlp SimPO Hyperparameter Tuning
- Heuristic:Protectai Llm guard ONNX Runtime Optimization
- Heuristic:Datajuicer Data juicer Partition Size Tuning
- Heuristic:Mage ai Mage ai HTTP Request Timeout Defaults
Environments
- Environment:Hiyouga LLaMA Factory Optional Inference Backends
- Environment:Nightwatchjs Nightwatch Node 18 Runtime
- Environment:Facebookresearch Habitat lab Python 3 9 Core Dependencies
- Environment:Sgl project Sglang Multimodal
- Environment:Fede1024 Rust rdkafka CI Test Runner
- Environment:DataTalksClub Data engineering zoomcamp Kafka Confluent Environment
- Environment:Langchain ai Langchain LangSmith Tracing Config
- Environment:Run llama Llama index Python LlamaIndex Core
- Environment:Volcengine Verl Python Core Dependencies
- Environment:CARLA simulator Carla Simulation Runtime